Ph.D. Position

**Job Description**
This Ph.D. position focuses on developing next-generation decision-support tools for battery operators to optimize their participation in multiple consecutive short-term electricity markets and manage congestion. The research involves designing state-of-the-art model predictive control tools, addressing uncertainty through robust chance-constrained optimization, integrating data-driven models for battery state-of-health and degradation, and exploring the integration of novel connection agreements to enhance battery owners’ business cases within climate-neutral power systems.

**Skills & Abilities**
• Strong quantitative and analytical skills.
• Very good written and spoken communication skills in English.
• Programming experience in Julia, Python or a similar language (Bonus).
• Taken courses in Operations Research or Model Predictive Control (Bonus).
• Prior research experience, especially in energy system/market modelling or other energy-related research (Bonus).

**Qualifications**
Required Degree(s) in:
• Science
• Engineering
• Economics

**Experience**
Other:
• Masters degree must have been awarded by the agreed-upon starting date of the PhD.
• Prior research experience, especially in energy system/market modelling or other energy-related research (Preferred).

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